Overview

Dataset statistics

Number of variables45
Number of observations1552210
Missing cells43512155
Missing cells (%)62.3%
Total size in memory532.9 MiB
Average record size in memory360.0 B

Variable types

Numeric45

Alerts

HR has 153399 (9.9%) missing values Missing
O2Sat has 202736 (13.1%) missing values Missing
Temp has 1026984 (66.2%) missing values Missing
SBP has 226265 (14.6%) missing values Missing
MAP has 193270 (12.5%) missing values Missing
DBP has 486554 (31.3%) missing values Missing
Resp has 238335 (15.4%) missing values Missing
EtCO2 has 1494574 (96.3%) missing values Missing
BaseExcess has 1468065 (94.6%) missing values Missing
HCO3 has 1487182 (95.8%) missing values Missing
FiO2 has 1422845 (91.7%) missing values Missing
pH has 1444637 (93.1%) missing values Missing
PaCO2 has 1465909 (94.4%) missing values Missing
SaO2 has 1498649 (96.5%) missing values Missing
AST has 1527027 (98.4%) missing values Missing
BUN has 1445642 (93.1%) missing values Missing
Alkalinephos has 1527269 (98.4%) missing values Missing
Calcium has 1460879 (94.1%) missing values Missing
Chloride has 1481744 (95.5%) missing values Missing
Creatinine has 1457594 (93.9%) missing values Missing
Bilirubin_direct has 1549220 (99.8%) missing values Missing
Glucose has 1286694 (82.9%) missing values Missing
Lactate has 1510764 (97.3%) missing values Missing
Magnesium has 1454259 (93.7%) missing values Missing
Phosphate has 1489909 (96.0%) missing values Missing
Potassium has 1407685 (90.7%) missing values Missing
Bilirubin_total has 1529069 (98.5%) missing values Missing
TroponinI has 1537429 (99.0%) missing values Missing
Hct has 1414777 (91.1%) missing values Missing
Hgb has 1437619 (92.6%) missing values Missing
PTT has 1506511 (97.1%) missing values Missing
WBC has 1452763 (93.6%) missing values Missing
Fibrinogen has 1541968 (99.3%) missing values Missing
Platelets has 1460001 (94.1%) missing values Missing
Unit1 has 611960 (39.4%) missing values Missing
Unit2 has 611960 (39.4%) missing values Missing
FiO2 is highly skewed (γ1 = 359.335996) Skewed
level_1 has 40336 (2.6%) zeros Zeros
BaseExcess has 19366 (1.2%) zeros Zeros
Gender has 684107 (44.1%) zeros Zeros
Unit1 has 473349 (30.5%) zeros Zeros
Unit2 has 466901 (30.1%) zeros Zeros
HospAdmTime has 56050 (3.6%) zeros Zeros
SepsisLabel has 1524294 (98.2%) zeros Zeros
Sepsis has 1379800 (88.9%) zeros Zeros

Reproduction

Analysis started2021-11-29 10:20:28.724405
Analysis finished2021-11-29 10:21:08.102471
Duration39.38 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

PatientID
Real number (ℝ≥0)

Distinct40336
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59201.47971
Minimum1
Maximum120000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:08.162438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1987
Q19990
median19965
Q3109878
95-th percentile118002
Maximum120000
Range119999
Interquartile range (IQR)99888

Descriptive statistics

Standard deviation50248.19362
Coefficient of variation (CV)0.8487658395
Kurtosis-1.94541172
Mean59201.47971
Median Absolute Deviation (MAD)19596
Skewness0.03482491886
Sum9.189312881 × 1010
Variance2524880962
MonotonicityIncreasing
2021-11-29T11:21:08.269757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117406336
 
< 0.1%
116439336
 
< 0.1%
114471336
 
< 0.1%
101922336
 
< 0.1%
113190336
 
< 0.1%
16581336
 
< 0.1%
4905336
 
< 0.1%
8132336
 
< 0.1%
18469336
 
< 0.1%
3658336
 
< 0.1%
Other values (40326)1548850
99.8%
ValueCountFrequency (%)
154
< 0.1%
223
< 0.1%
348
< 0.1%
429
< 0.1%
548
< 0.1%
ValueCountFrequency (%)
12000035
< 0.1%
11999920
< 0.1%
11999849
< 0.1%
11999725
< 0.1%
11999648
< 0.1%

level_1
Real number (ℝ≥0)

ZEROS

Distinct336
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.49274454
Minimum0
Maximum335
Zeros40336
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:08.374761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median19
Q333
95-th percentile61
Maximum335
Range335
Interquartile range (IQR)24

Descriptive statistics

Standard deviation28.88255703
Coefficient of variation (CV)1.132971658
Kurtosis24.44797893
Mean25.49274454
Median Absolute Deviation (MAD)11
Skewness4.093619503
Sum39570093
Variance834.2021009
MonotonicityNot monotonic
2021-11-29T11:21:08.472184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
040336
 
2.6%
140336
 
2.6%
240336
 
2.6%
340336
 
2.6%
440336
 
2.6%
540336
 
2.6%
640336
 
2.6%
740336
 
2.6%
840008
 
2.6%
939772
 
2.6%
Other values (326)1149742
74.1%
ValueCountFrequency (%)
040336
2.6%
140336
2.6%
240336
2.6%
340336
2.6%
440336
2.6%
ValueCountFrequency (%)
33510
< 0.1%
33413
< 0.1%
33315
< 0.1%
33216
< 0.1%
33116
< 0.1%

HR
Real number (ℝ≥0)

MISSING

Distinct343
Distinct (%)< 0.1%
Missing153399
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean84.58144338
Minimum20
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:08.573546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile59
Q172
median83.5
Q395.5
95-th percentile115
Maximum280
Range260
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation17.3252421
Coefficient of variation (CV)0.2048350254
Kurtosis0.4000584976
Mean84.58144338
Median Absolute Deviation (MAD)11.5
Skewness0.4312512501
Sum118313453.4
Variance300.1640138
MonotonicityNot monotonic
2021-11-29T11:21:08.674697image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8045945
 
3.0%
9037825
 
2.4%
8833386
 
2.2%
8232789
 
2.1%
8432417
 
2.1%
7831066
 
2.0%
7031043
 
2.0%
8630378
 
2.0%
7629740
 
1.9%
7429565
 
1.9%
Other values (333)1064657
68.6%
(Missing)153399
 
9.9%
ValueCountFrequency (%)
2015
< 0.1%
213
 
< 0.1%
226
 
< 0.1%
22.51
 
< 0.1%
233
 
< 0.1%
ValueCountFrequency (%)
2802
< 0.1%
2651
< 0.1%
2601
< 0.1%
2231
< 0.1%
2211
< 0.1%

O2Sat
Real number (ℝ≥0)

MISSING

Distinct145
Distinct (%)< 0.1%
Missing202736
Missing (%)13.1%
Infinite0
Infinite (%)0.0%
Mean97.19395453
Minimum20
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:08.779518image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile92.5
Q196
median98
Q399.5
95-th percentile100
Maximum100
Range80
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.936924033
Coefficient of variation (CV)0.03021714722
Kurtosis59.00770107
Mean97.19395453
Median Absolute Deviation (MAD)2
Skewness-4.152268682
Sum131160714.6
Variance8.625522778
MonotonicityNot monotonic
2021-11-29T11:21:08.879707image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100326414
21.0%
98180711
11.6%
99169093
10.9%
97167773
10.8%
96143168
9.2%
95107986
 
7.0%
9471643
 
4.6%
9343607
 
2.8%
9226346
 
1.7%
99.514790
 
1.0%
Other values (135)97943
 
6.3%
(Missing)202736
13.1%
ValueCountFrequency (%)
2014
< 0.1%
216
< 0.1%
2210
< 0.1%
235
 
< 0.1%
249
< 0.1%
ValueCountFrequency (%)
100326414
21.0%
99.514790
 
1.0%
99.41
 
< 0.1%
99.21
 
< 0.1%
99169093
10.9%

Temp
Real number (ℝ≥0)

MISSING

Distinct641
Distinct (%)0.1%
Missing1026984
Missing (%)66.2%
Infinite0
Infinite (%)0.0%
Mean36.97722824
Minimum20.9
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:09.047047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20.9
5-th percentile35.8
Q136.5
median37
Q337.5
95-th percentile38.2
Maximum50
Range29.1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.7700142522
Coefficient of variation (CV)0.02082401221
Kurtosis4.047580022
Mean36.97722824
Median Absolute Deviation (MAD)0.5
Skewness-0.3291871669
Sum19421401.68
Variance0.5929219486
MonotonicityNot monotonic
2021-11-29T11:21:09.145276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3727104
 
1.7%
36.519375
 
1.2%
36.818702
 
1.2%
37.217715
 
1.1%
37.517549
 
1.1%
36.717012
 
1.1%
36.616951
 
1.1%
37.416655
 
1.1%
37.116564
 
1.1%
37.316141
 
1.0%
Other values (631)341458
 
22.0%
(Missing)1026984
66.2%
ValueCountFrequency (%)
20.91
< 0.1%
211
< 0.1%
231
< 0.1%
23.61
< 0.1%
26.61
< 0.1%
ValueCountFrequency (%)
502
< 0.1%
42.221
< 0.1%
42.11
< 0.1%
421
< 0.1%
41.971
< 0.1%

SBP
Real number (ℝ≥0)

MISSING

Distinct990
Distinct (%)0.1%
Missing226265
Missing (%)14.6%
Infinite0
Infinite (%)0.0%
Mean123.7504654
Minimum20
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:09.250066image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile91
Q1107
median121
Q3138
95-th percentile165
Maximum300
Range280
Interquartile range (IQR)31

Descriptive statistics

Standard deviation23.23155568
Coefficient of variation (CV)0.1877290368
Kurtosis0.4364009802
Mean123.7504654
Median Absolute Deviation (MAD)16
Skewness0.5589087009
Sum164086310.8
Variance539.7051791
MonotonicityNot monotonic
2021-11-29T11:21:09.346546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11622767
 
1.5%
11222623
 
1.5%
11022614
 
1.5%
11422598
 
1.5%
11822390
 
1.4%
12022182
 
1.4%
12221342
 
1.4%
10821199
 
1.4%
11920961
 
1.4%
12420947
 
1.3%
Other values (980)1106322
71.3%
(Missing)226265
 
14.6%
ValueCountFrequency (%)
205
< 0.1%
212
 
< 0.1%
226
< 0.1%
23.51
 
< 0.1%
245
< 0.1%
ValueCountFrequency (%)
3001
 
< 0.1%
2991
 
< 0.1%
2981
 
< 0.1%
2963
< 0.1%
2951
 
< 0.1%

MAP
Real number (ℝ≥0)

MISSING

Distinct945
Distinct (%)0.1%
Missing193270
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean82.40009989
Minimum20
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:09.449616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile60
Q171
median80
Q392
95-th percentile111
Maximum300
Range280
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.34175019
Coefficient of variation (CV)0.1983219707
Kurtosis5.051703527
Mean82.40009989
Median Absolute Deviation (MAD)10
Skewness1.05026128
Sum111976791.7
Variance267.0527994
MonotonicityNot monotonic
2021-11-29T11:21:09.546735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7833192
 
2.1%
7632626
 
2.1%
7431982
 
2.1%
8031750
 
2.0%
7231286
 
2.0%
8230664
 
2.0%
7529974
 
1.9%
7729728
 
1.9%
7929092
 
1.9%
8429056
 
1.9%
Other values (935)1049590
67.6%
(Missing)193270
 
12.5%
ValueCountFrequency (%)
2020
< 0.1%
20.331
 
< 0.1%
20.52
 
< 0.1%
2111
< 0.1%
21.332
 
< 0.1%
ValueCountFrequency (%)
3006
< 0.1%
2989
< 0.1%
2972
 
< 0.1%
2963
 
< 0.1%
2955
< 0.1%

DBP
Real number (ℝ≥0)

MISSING

Distinct678
Distinct (%)0.1%
Missing486554
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean63.83055577
Minimum20
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:09.650927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile44
Q154
median62
Q372
95-th percentile89
Maximum300
Range280
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.95601008
Coefficient of variation (CV)0.2186415254
Kurtosis5.456534907
Mean63.83055577
Median Absolute Deviation (MAD)9
Skewness1.055223324
Sum68021414.74
Variance194.7702173
MonotonicityNot monotonic
2021-11-29T11:21:09.748560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5835299
 
2.3%
6034312
 
2.2%
5633949
 
2.2%
6231587
 
2.0%
5930624
 
2.0%
5430363
 
2.0%
6429925
 
1.9%
5729589
 
1.9%
5529306
 
1.9%
6328803
 
1.9%
Other values (668)751899
48.4%
(Missing)486554
31.3%
ValueCountFrequency (%)
2043
< 0.1%
20.56
 
< 0.1%
2140
< 0.1%
21.58
 
< 0.1%
2256
< 0.1%
ValueCountFrequency (%)
3002
< 0.1%
2982
< 0.1%
2963
< 0.1%
2932
< 0.1%
2922
< 0.1%

Resp
Real number (ℝ≥0)

MISSING

Distinct235
Distinct (%)< 0.1%
Missing238335
Missing (%)15.4%
Infinite0
Infinite (%)0.0%
Mean18.72649786
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:09.856129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q115
median18
Q321.5
95-th percentile28
Maximum100
Range99
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.098193617
Coefficient of variation (CV)0.2722449043
Kurtosis4.353456193
Mean18.72649786
Median Absolute Deviation (MAD)3
Skewness0.9708102062
Sum24604277.37
Variance25.99157815
MonotonicityNot monotonic
2021-11-29T11:21:09.954231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18139639
 
9.0%
16127085
 
8.2%
20126093
 
8.1%
1483985
 
5.4%
1781247
 
5.2%
1577192
 
5.0%
2275275
 
4.8%
1975122
 
4.8%
2162762
 
4.0%
1254789
 
3.5%
Other values (225)410686
26.5%
(Missing)238335
15.4%
ValueCountFrequency (%)
1466
< 0.1%
1.556
 
< 0.1%
2686
< 0.1%
2.552
 
< 0.1%
3480
< 0.1%
ValueCountFrequency (%)
1005
< 0.1%
997
< 0.1%
986
< 0.1%
975
< 0.1%
96.51
 
< 0.1%

EtCO2
Real number (ℝ≥0)

MISSING

Distinct139
Distinct (%)0.2%
Missing1494574
Missing (%)96.3%
Infinite0
Infinite (%)0.0%
Mean32.95765667
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:10.054659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19
Q128
median33
Q338
95-th percentile45
Maximum100
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.951662124
Coefficient of variation (CV)0.2412690381
Kurtosis4.962535523
Mean32.95765667
Median Absolute Deviation (MAD)5
Skewness0.496014827
Sum1899547.5
Variance63.22893053
MonotonicityNot monotonic
2021-11-29T11:21:10.200155image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
352930
 
0.2%
342901
 
0.2%
322842
 
0.2%
332814
 
0.2%
312573
 
0.2%
302493
 
0.2%
362463
 
0.2%
372356
 
0.2%
292305
 
0.1%
382162
 
0.1%
Other values (129)31797
 
2.0%
(Missing)1494574
96.3%
ValueCountFrequency (%)
10138
< 0.1%
10.531
 
< 0.1%
11116
< 0.1%
11.527
 
< 0.1%
12179
< 0.1%
ValueCountFrequency (%)
10012
< 0.1%
994
 
< 0.1%
9813
< 0.1%
9712
< 0.1%
964
 
< 0.1%

BaseExcess
Real number (ℝ)

MISSING
ZEROS

Distinct407
Distinct (%)0.5%
Missing1468065
Missing (%)94.6%
Infinite0
Infinite (%)0.0%
Mean-0.6899191871
Minimum-32
Maximum100
Zeros19366
Zeros (%)1.2%
Negative39083
Negative (%)2.5%
Memory size11.8 MiB
2021-11-29T11:21:10.298784image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-32
5-th percentile-7.5
Q1-3
median0
Q31
95-th percentile6
Maximum100
Range132
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.294297421
Coefficient of variation (CV)-6.224348448
Kurtosis7.53382398
Mean-0.6899191871
Median Absolute Deviation (MAD)2
Skewness-0.001227970879
Sum-58053.25
Variance18.44099034
MonotonicityNot monotonic
2021-11-29T11:21:10.401400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019366
 
1.2%
-17873
 
0.5%
-26948
 
0.4%
16110
 
0.4%
-35956
 
0.4%
24877
 
0.3%
-44536
 
0.3%
33963
 
0.3%
-53358
 
0.2%
42848
 
0.2%
Other values (397)18310
 
1.2%
(Missing)1468065
94.6%
ValueCountFrequency (%)
-321
 
< 0.1%
-301
 
< 0.1%
-292
 
< 0.1%
-285
< 0.1%
-275
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
49.51
< 0.1%
441
< 0.1%
361
< 0.1%
281
< 0.1%

HCO3
Real number (ℝ≥0)

MISSING

Distinct304
Distinct (%)0.5%
Missing1487182
Missing (%)95.8%
Infinite0
Infinite (%)0.0%
Mean24.07548056
Minimum0
Maximum55
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:10.502414image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q122
median24
Q326.8
95-th percentile31
Maximum55
Range55
Interquartile range (IQR)4.8

Descriptive statistics

Standard deviation4.376503698
Coefficient of variation (CV)0.1817826102
Kurtosis2.138953412
Mean24.07548056
Median Absolute Deviation (MAD)2
Skewness0.1540556984
Sum1565580.35
Variance19.15378462
MonotonicityNot monotonic
2021-11-29T11:21:10.595267image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
247110
 
0.5%
256992
 
0.5%
236685
 
0.4%
265990
 
0.4%
225552
 
0.4%
274739
 
0.3%
214165
 
0.3%
283420
 
0.2%
203262
 
0.2%
292476
 
0.2%
Other values (294)14637
 
0.9%
(Missing)1487182
95.8%
ValueCountFrequency (%)
02
 
< 0.1%
513
< 0.1%
622
< 0.1%
730
< 0.1%
7.51
 
< 0.1%
ValueCountFrequency (%)
552
 
< 0.1%
531
 
< 0.1%
521
 
< 0.1%
504
< 0.1%
496
< 0.1%

FiO2
Real number (ℝ)

MISSING
SKEWED

Distinct104
Distinct (%)0.1%
Missing1422845
Missing (%)91.7%
Infinite0
Infinite (%)0.0%
Mean0.5548386349
Minimum-50
Maximum4000
Zeros81
Zeros (%)< 0.1%
Negative2
Negative (%)< 0.1%
Memory size11.8 MiB
2021-11-29T11:21:10.698741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-50
5-th percentile0.35
Q10.4
median0.5
Q30.6
95-th percentile1
Maximum4000
Range4050
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation11.12320695
Coefficient of variation (CV)20.04764314
Kurtosis129203.8813
Mean0.5548386349
Median Absolute Deviation (MAD)0.1
Skewness359.335996
Sum71776.7
Variance123.7257329
MonotonicityNot monotonic
2021-11-29T11:21:10.800961image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.444640
 
2.9%
0.539480
 
2.5%
111607
 
0.7%
0.69358
 
0.6%
0.76358
 
0.4%
0.353720
 
0.2%
0.33013
 
0.2%
0.82785
 
0.2%
0.211624
 
0.1%
0.451321
 
0.1%
Other values (94)5459
 
0.4%
(Missing)1422845
91.7%
ValueCountFrequency (%)
-502
 
< 0.1%
081
< 0.1%
0.011
 
< 0.1%
0.0250
< 0.1%
0.0330
 
< 0.1%
ValueCountFrequency (%)
40001
 
< 0.1%
101
 
< 0.1%
71
 
< 0.1%
5.051
 
< 0.1%
216
< 0.1%

pH
Real number (ℝ≥0)

MISSING

Distinct103
Distinct (%)0.1%
Missing1444637
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean7.378934026
Minimum6.62
Maximum7.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:10.905846image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.62
5-th percentile7.26
Q17.34
median7.38
Q37.43
95-th percentile7.49
Maximum7.93
Range1.31
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.07456771045
Coefficient of variation (CV)0.01010548545
Kurtosis3.724303311
Mean7.378934026
Median Absolute Deviation (MAD)0.04
Skewness-0.9351354213
Sum793774.07
Variance0.005560343442
MonotonicityNot monotonic
2021-11-29T11:21:11.013404image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.46825
 
0.4%
7.386798
 
0.4%
7.396456
 
0.4%
7.416160
 
0.4%
7.366123
 
0.4%
7.426106
 
0.4%
7.376094
 
0.4%
7.355330
 
0.3%
7.435197
 
0.3%
7.344894
 
0.3%
Other values (93)47590
 
3.1%
(Missing)1444637
93.1%
ValueCountFrequency (%)
6.621
< 0.1%
6.631
< 0.1%
6.651
< 0.1%
6.711
< 0.1%
6.721
< 0.1%
ValueCountFrequency (%)
7.931
< 0.1%
7.81
< 0.1%
7.781
< 0.1%
7.731
< 0.1%
7.721
< 0.1%

PaCO2
Real number (ℝ≥0)

MISSING

Distinct551
Distinct (%)0.6%
Missing1465909
Missing (%)94.4%
Infinite0
Infinite (%)0.0%
Mean41.02186881
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:11.123563image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile29
Q135
median40
Q345
95-th percentile57
Maximum100
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.267241923
Coefficient of variation (CV)0.2259097938
Kurtosis5.494297865
Mean41.02186881
Median Absolute Deviation (MAD)5
Skewness1.570319845
Sum3540228.3
Variance85.88177285
MonotonicityNot monotonic
2021-11-29T11:21:11.218003image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
384808
 
0.3%
404762
 
0.3%
394584
 
0.3%
424522
 
0.3%
374325
 
0.3%
364310
 
0.3%
414274
 
0.3%
433682
 
0.2%
353617
 
0.2%
443538
 
0.2%
Other values (541)43879
 
2.8%
(Missing)1465909
94.4%
ValueCountFrequency (%)
101
 
< 0.1%
113
< 0.1%
123
< 0.1%
134
< 0.1%
145
< 0.1%
ValueCountFrequency (%)
10018
< 0.1%
9914
< 0.1%
9817
< 0.1%
97.51
 
< 0.1%
9717
< 0.1%

SaO2
Real number (ℝ≥0)

MISSING

Distinct432
Distinct (%)0.8%
Missing1498649
Missing (%)96.5%
Infinite0
Infinite (%)0.0%
Mean92.65418775
Minimum23
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:11.366902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile64
Q194
median97
Q398
95-th percentile99.1
Maximum100
Range77
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.89298586
Coefficient of variation (CV)0.1175660391
Kurtosis5.03574273
Mean92.65418775
Median Absolute Deviation (MAD)1.1
Skewness-2.394925567
Sum4962650.95
Variance118.657141
MonotonicityNot monotonic
2021-11-29T11:21:11.466382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9811089
 
0.7%
977107
 
0.5%
964047
 
0.3%
993624
 
0.2%
952271
 
0.1%
941506
 
0.1%
93844
 
0.1%
92514
 
< 0.1%
98.5409
 
< 0.1%
98.8381
 
< 0.1%
Other values (422)21769
 
1.4%
(Missing)1498649
96.5%
ValueCountFrequency (%)
231
< 0.1%
241
< 0.1%
261
< 0.1%
272
< 0.1%
282
< 0.1%
ValueCountFrequency (%)
100291
< 0.1%
99.997
 
< 0.1%
99.851
 
< 0.1%
99.8241
< 0.1%
99.754
 
< 0.1%

AST
Real number (ℝ≥0)

MISSING

Distinct2025
Distinct (%)8.0%
Missing1527027
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean260.2233848
Minimum3
Maximum9961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:11.571925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q122
median41
Q3111
95-th percentile1132.7
Maximum9961
Range9958
Interquartile range (IQR)89

Descriptive statistics

Standard deviation855.746795
Coefficient of variation (CV)3.288508431
Kurtosis48.52582169
Mean260.2233848
Median Absolute Deviation (MAD)23
Skewness6.439520634
Sum6553205.5
Variance732302.5771
MonotonicityNot monotonic
2021-11-29T11:21:11.678780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17630
 
< 0.1%
20608
 
< 0.1%
18605
 
< 0.1%
19602
 
< 0.1%
21599
 
< 0.1%
16574
 
< 0.1%
22545
 
< 0.1%
24523
 
< 0.1%
23501
 
< 0.1%
15498
 
< 0.1%
Other values (2015)19498
 
1.3%
(Missing)1527027
98.4%
ValueCountFrequency (%)
32
 
< 0.1%
41
 
< 0.1%
511
< 0.1%
5.51
 
< 0.1%
615
< 0.1%
ValueCountFrequency (%)
99611
< 0.1%
98901
< 0.1%
98402
< 0.1%
97471
< 0.1%
97301
< 0.1%

BUN
Real number (ℝ≥0)

MISSING

Distinct265
Distinct (%)0.2%
Missing1445642
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean23.91545211
Minimum1
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:11.781509image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q112
median17
Q328
95-th percentile65
Maximum268
Range267
Interquartile range (IQR)16

Descriptive statistics

Standard deviation19.99431683
Coefficient of variation (CV)0.8360417669
Kurtosis9.19788906
Mean23.91545211
Median Absolute Deviation (MAD)7
Skewness2.531283558
Sum2548621.9
Variance399.7727057
MonotonicityNot monotonic
2021-11-29T11:21:11.881913image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145076
 
0.3%
135045
 
0.3%
125016
 
0.3%
114845
 
0.3%
154827
 
0.3%
104517
 
0.3%
164333
 
0.3%
174194
 
0.3%
93989
 
0.3%
183711
 
0.2%
Other values (255)61015
 
3.9%
(Missing)1445642
93.1%
ValueCountFrequency (%)
1102
 
< 0.1%
1.52
 
< 0.1%
2198
 
< 0.1%
2.51
 
< 0.1%
3562
< 0.1%
ValueCountFrequency (%)
2681
< 0.1%
2661
< 0.1%
2521
< 0.1%
2351
< 0.1%
2341
< 0.1%

Alkalinephos
Real number (ℝ≥0)

MISSING

Distinct752
Distinct (%)3.0%
Missing1527269
Missing (%)98.4%
Infinite0
Infinite (%)0.0%
Mean102.4836614
Minimum7
Maximum3833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:11.983693image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile35
Q154
median74
Q3108
95-th percentile254
Maximum3833
Range3826
Interquartile range (IQR)54

Descriptive statistics

Standard deviation120.1227463
Coefficient of variation (CV)1.172116068
Kurtosis195.7589745
Mean102.4836614
Median Absolute Deviation (MAD)24
Skewness10.05213671
Sum2556045
Variance14429.47418
MonotonicityNot monotonic
2021-11-29T11:21:12.086728image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58369
 
< 0.1%
49354
 
< 0.1%
56353
 
< 0.1%
54350
 
< 0.1%
55348
 
< 0.1%
53348
 
< 0.1%
52342
 
< 0.1%
61338
 
< 0.1%
50334
 
< 0.1%
59327
 
< 0.1%
Other values (742)21478
 
1.4%
(Missing)1527269
98.4%
ValueCountFrequency (%)
72
< 0.1%
114
< 0.1%
122
< 0.1%
133
< 0.1%
144
< 0.1%
ValueCountFrequency (%)
38332
< 0.1%
36192
< 0.1%
25281
< 0.1%
24401
< 0.1%
23321
< 0.1%

Calcium
Real number (ℝ≥0)

MISSING

Distinct549
Distinct (%)0.6%
Missing1460879
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean7.557530849
Minimum1
Maximum27.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:12.195145image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.17
Q17.7
median8.3
Q38.7
95-th percentile9.5
Maximum27.9
Range26.9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.433151846
Coefficient of variation (CV)0.3219506337
Kurtosis3.307150914
Mean7.557530849
Median Absolute Deviation (MAD)0.5
Skewness-1.642456951
Sum690236.85
Variance5.920227906
MonotonicityNot monotonic
2021-11-29T11:21:12.294827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.34903
 
0.3%
8.44850
 
0.3%
8.54771
 
0.3%
8.24677
 
0.3%
8.64593
 
0.3%
8.14459
 
0.3%
8.74138
 
0.3%
84032
 
0.3%
8.83847
 
0.2%
7.93532
 
0.2%
Other values (539)47529
 
3.1%
(Missing)1460879
94.1%
ValueCountFrequency (%)
157
< 0.1%
1.0174
< 0.1%
1.0287
< 0.1%
1.0395
< 0.1%
1.04127
< 0.1%
ValueCountFrequency (%)
27.91
< 0.1%
272
< 0.1%
25.21
< 0.1%
24.91
< 0.1%
23.71
< 0.1%

Chloride
Real number (ℝ≥0)

MISSING

Distinct108
Distinct (%)0.2%
Missing1481744
Missing (%)95.5%
Infinite0
Infinite (%)0.0%
Mean105.8279099
Minimum26
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:12.392488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile96
Q1102
median106
Q3109
95-th percentile115
Maximum145
Range119
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.880461932
Coefficient of variation (CV)0.05556626732
Kurtosis2.712170691
Mean105.8279099
Median Absolute Deviation (MAD)3
Skewness-0.1640872814
Sum7457269.5
Variance34.57983253
MonotonicityNot monotonic
2021-11-29T11:21:12.546576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1065654
 
0.4%
1075509
 
0.4%
1055317
 
0.3%
1085143
 
0.3%
1044876
 
0.3%
1094738
 
0.3%
1034276
 
0.3%
1103835
 
0.2%
1023605
 
0.2%
1113246
 
0.2%
Other values (98)24267
 
1.6%
(Missing)1481744
95.5%
ValueCountFrequency (%)
261
< 0.1%
381
< 0.1%
631
< 0.1%
662
< 0.1%
671
< 0.1%
ValueCountFrequency (%)
1451
 
< 0.1%
1411
 
< 0.1%
1403
 
< 0.1%
13910
< 0.1%
1386
< 0.1%

Creatinine
Real number (ℝ≥0)

MISSING

Distinct1407
Distinct (%)1.5%
Missing1457594
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean1.510699353
Minimum0.1
Maximum46.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:12.648416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q10.7
median0.94
Q31.43
95-th percentile4.9
Maximum46.6
Range46.5
Interquartile range (IQR)0.73

Descriptive statistics

Standard deviation1.805602538
Coefficient of variation (CV)1.195209711
Kurtosis33.88764296
Mean1.510699353
Median Absolute Deviation (MAD)0.28
Skewness4.630425512
Sum142936.33
Variance3.260200524
MonotonicityNot monotonic
2021-11-29T11:21:12.744648image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.76657
 
0.4%
0.86536
 
0.4%
0.65500
 
0.4%
0.95468
 
0.4%
14199
 
0.3%
0.53723
 
0.2%
1.13205
 
0.2%
1.22432
 
0.2%
1.31955
 
0.1%
0.41591
 
0.1%
Other values (1397)53350
 
3.4%
(Missing)1457594
93.9%
ValueCountFrequency (%)
0.130
 
< 0.1%
0.2116
< 0.1%
0.212
 
< 0.1%
0.222
 
< 0.1%
0.231
 
< 0.1%
ValueCountFrequency (%)
46.61
< 0.1%
41.91
< 0.1%
29.861
< 0.1%
29.21
< 0.1%
29.11
< 0.1%

Bilirubin_direct
Real number (ℝ≥0)

MISSING

Distinct280
Distinct (%)9.4%
Missing1549220
Missing (%)99.8%
Infinite0
Infinite (%)0.0%
Mean1.836177258
Minimum0.01
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:12.845032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1
Q10.2
median0.445
Q31.7
95-th percentile8.1
Maximum37.5
Range37.49
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation3.694082063
Coefficient of variation (CV)2.011833034
Kurtosis20.71139535
Mean1.836177258
Median Absolute Deviation (MAD)0.345
Skewness4.09197075
Sum5490.17
Variance13.64624229
MonotonicityNot monotonic
2021-11-29T11:21:12.943672image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1541
 
< 0.1%
0.2381
 
< 0.1%
0.3195
 
< 0.1%
0.4170
 
< 0.1%
0.5104
 
< 0.1%
0.687
 
< 0.1%
0.775
 
< 0.1%
170
 
< 0.1%
0.861
 
< 0.1%
1.151
 
< 0.1%
Other values (270)1255
 
0.1%
(Missing)1549220
99.8%
ValueCountFrequency (%)
0.018
< 0.1%
0.024
< 0.1%
0.035
< 0.1%
0.044
< 0.1%
0.056
< 0.1%
ValueCountFrequency (%)
37.51
< 0.1%
351
< 0.1%
302
< 0.1%
29.12
< 0.1%
282
< 0.1%

Glucose
Real number (ℝ≥0)

MISSING

Distinct1157
Distinct (%)0.4%
Missing1286694
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean136.9322833
Minimum10
Maximum988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:13.049570image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile82
Q1106
median127
Q3153
95-th percentile229
Maximum988
Range978
Interquartile range (IQR)47

Descriptive statistics

Standard deviation51.31072775
Coefficient of variation (CV)0.3747160751
Kurtosis17.69976525
Mean136.9322833
Median Absolute Deviation (MAD)23
Skewness2.818303112
Sum36357712.13
Variance2632.790782
MonotonicityNot monotonic
2021-11-29T11:21:13.150609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1183398
 
0.2%
1143289
 
0.2%
1163245
 
0.2%
1203236
 
0.2%
1213227
 
0.2%
1123209
 
0.2%
1153207
 
0.2%
1173204
 
0.2%
1193188
 
0.2%
1133184
 
0.2%
Other values (1147)233129
 
15.0%
(Missing)1286694
82.9%
ValueCountFrequency (%)
101
< 0.1%
111
< 0.1%
131
< 0.1%
141
< 0.1%
151
< 0.1%
ValueCountFrequency (%)
9881
< 0.1%
9601
< 0.1%
9521
< 0.1%
9421
< 0.1%
9341
< 0.1%

Lactate
Real number (ℝ≥0)

MISSING

Distinct1340
Distinct (%)3.2%
Missing1510764
Missing (%)97.3%
Infinite0
Infinite (%)0.0%
Mean2.646666023
Minimum0.2
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:13.252359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.8
Q11.26
median1.8
Q33
95-th percentile7.35
Maximum31
Range30.8
Interquartile range (IQR)1.74

Descriptive statistics

Standard deviation2.526214355
Coefficient of variation (CV)0.9544892829
Kurtosis16.01909859
Mean2.646666023
Median Absolute Deviation (MAD)0.7
Skewness3.406317727
Sum109693.72
Variance6.381758965
MonotonicityNot monotonic
2021-11-29T11:21:13.348637image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.21551
 
0.1%
11507
 
0.1%
1.31485
 
0.1%
1.41467
 
0.1%
1.11454
 
0.1%
0.91292
 
0.1%
1.61229
 
0.1%
1.51226
 
0.1%
1.71148
 
0.1%
0.81043
 
0.1%
Other values (1330)28044
 
1.8%
(Missing)1510764
97.3%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.313
 
< 0.1%
0.371
 
< 0.1%
0.434
< 0.1%
0.461
 
< 0.1%
ValueCountFrequency (%)
311
< 0.1%
28.91
< 0.1%
28.81
< 0.1%
271
< 0.1%
26.92
< 0.1%

Magnesium
Real number (ℝ≥0)

MISSING

Distinct110
Distinct (%)0.1%
Missing1454259
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean2.051450215
Minimum0.2
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:13.453616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.5
Q11.8
median2
Q32.2
95-th percentile2.7
Maximum9.8
Range9.6
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.3978977439
Coefficient of variation (CV)0.1939592494
Kurtosis22.19094663
Mean2.051450215
Median Absolute Deviation (MAD)0.2
Skewness2.27744708
Sum200941.6
Variance0.1583226146
MonotonicityNot monotonic
2021-11-29T11:21:13.552522image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213058
 
0.8%
1.912223
 
0.8%
2.112004
 
0.8%
1.810148
 
0.7%
2.29554
 
0.6%
1.77107
 
0.5%
2.37104
 
0.5%
2.44999
 
0.3%
1.64699
 
0.3%
2.53350
 
0.2%
Other values (100)13705
 
0.9%
(Missing)1454259
93.7%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.52
 
< 0.1%
0.61
 
< 0.1%
0.78
< 0.1%
0.814
< 0.1%
ValueCountFrequency (%)
9.81
< 0.1%
9.71
< 0.1%
9.61
< 0.1%
9.31
< 0.1%
9.21
< 0.1%

Phosphate
Real number (ℝ≥0)

MISSING

Distinct193
Distinct (%)0.3%
Missing1489909
Missing (%)96.0%
Infinite0
Infinite (%)0.0%
Mean3.544237653
Minimum0.2
Maximum18.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:13.702489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.7
Q12.6
median3.3
Q34.1
95-th percentile6.2
Maximum18.8
Range18.6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.423285944
Coefficient of variation (CV)0.4015774571
Kurtosis5.970357801
Mean3.544237653
Median Absolute Deviation (MAD)0.7
Skewness1.682255564
Sum220809.55
Variance2.025742878
MonotonicityNot monotonic
2021-11-29T11:21:13.798137image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.22392
 
0.2%
2.92367
 
0.2%
3.12360
 
0.2%
3.32352
 
0.2%
3.42338
 
0.2%
32263
 
0.1%
2.82233
 
0.1%
3.52197
 
0.1%
2.72113
 
0.1%
3.62094
 
0.1%
Other values (183)39592
 
2.6%
(Missing)1489909
96.0%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.35
 
< 0.1%
0.45
 
< 0.1%
0.521
< 0.1%
0.645
< 0.1%
ValueCountFrequency (%)
18.81
< 0.1%
17.61
< 0.1%
16.91
< 0.1%
16.51
< 0.1%
16.41
< 0.1%

Potassium
Real number (ℝ≥0)

MISSING

Distinct402
Distinct (%)0.3%
Missing1407685
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean4.135527971
Minimum1
Maximum27.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:13.899626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.3
Q13.7
median4.1
Q34.4
95-th percentile5.2
Maximum27.5
Range26.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.6421499059
Coefficient of variation (CV)0.1552764025
Kurtosis19.15382018
Mean4.135527971
Median Absolute Deviation (MAD)0.4
Skewness1.715130087
Sum597687.18
Variance0.4123565016
MonotonicityNot monotonic
2021-11-29T11:21:14.002833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
411201
 
0.7%
3.910762
 
0.7%
4.110566
 
0.7%
3.810293
 
0.7%
4.29920
 
0.6%
3.78784
 
0.6%
4.38699
 
0.6%
4.47560
 
0.5%
3.67528
 
0.5%
4.56234
 
0.4%
Other values (392)52978
 
3.4%
(Missing)1407685
90.7%
ValueCountFrequency (%)
11
 
< 0.1%
1.33
< 0.1%
1.43
< 0.1%
1.451
 
< 0.1%
1.53
< 0.1%
ValueCountFrequency (%)
27.51
< 0.1%
15.81
< 0.1%
131
< 0.1%
11.81
< 0.1%
11.52
< 0.1%

Bilirubin_total
Real number (ℝ≥0)

MISSING

Distinct407
Distinct (%)1.8%
Missing1529069
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean2.114059462
Minimum0.1
Maximum49.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:14.101382image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.5
median0.9
Q31.7
95-th percentile8.2
Maximum49.6
Range49.5
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation4.311468462
Coefficient of variation (CV)2.039426298
Kurtosis33.80515421
Mean2.114059462
Median Absolute Deviation (MAD)0.4
Skewness5.267721546
Sum48921.45
Variance18.5887603
MonotonicityNot monotonic
2021-11-29T11:21:14.204516image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.52049
 
0.1%
0.61969
 
0.1%
0.41876
 
0.1%
0.71797
 
0.1%
0.81516
 
0.1%
0.31416
 
0.1%
0.91266
 
0.1%
11061
 
0.1%
1.1862
 
0.1%
0.2700
 
< 0.1%
Other values (397)8629
 
0.6%
(Missing)1529069
98.5%
ValueCountFrequency (%)
0.1158
 
< 0.1%
0.151
 
< 0.1%
0.2700
< 0.1%
0.252
 
< 0.1%
0.31416
0.1%
ValueCountFrequency (%)
49.62
< 0.1%
49.21
< 0.1%
46.61
< 0.1%
46.51
< 0.1%
46.41
< 0.1%

TroponinI
Real number (ℝ≥0)

MISSING

Distinct2423
Distinct (%)16.4%
Missing1537429
Missing (%)99.0%
Infinite0
Infinite (%)0.0%
Mean8.290099452
Minimum0.01
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:14.308104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.04
median0.3
Q33.98
95-th percentile40
Maximum440
Range439.99
Interquartile range (IQR)3.94

Descriptive statistics

Standard deviation24.80623535
Coefficient of variation (CV)2.992272347
Kurtosis58.96023589
Mean8.290099452
Median Absolute Deviation (MAD)0.29
Skewness6.393148745
Sum122535.96
Variance615.3493121
MonotonicityNot monotonic
2021-11-29T11:21:14.403802image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011788
 
0.1%
0.031242
 
0.1%
0.02508
 
< 0.1%
0.04469
 
< 0.1%
0.05369
 
< 0.1%
0.06348
 
< 0.1%
0.07292
 
< 0.1%
40252
 
< 0.1%
0.08246
 
< 0.1%
0.1208
 
< 0.1%
Other values (2413)9059
 
0.6%
(Missing)1537429
99.0%
ValueCountFrequency (%)
0.011788
0.1%
0.02508
 
< 0.1%
0.031242
0.1%
0.04469
 
< 0.1%
0.05369
 
< 0.1%
ValueCountFrequency (%)
4403
< 0.1%
394.031
 
< 0.1%
381.61
 
< 0.1%
349.051
 
< 0.1%
338.921
 
< 0.1%

Hct
Real number (ℝ≥0)

MISSING

Distinct725
Distinct (%)0.5%
Missing1414777
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean30.79409334
Minimum5.5
Maximum71.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:14.501745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile22.7
Q127
median30.3
Q334.1
95-th percentile40.6
Maximum71.7
Range66.2
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation5.491748793
Coefficient of variation (CV)0.1783377329
Kurtosis0.6337671688
Mean30.79409334
Median Absolute Deviation (MAD)3.5
Skewness0.473127315
Sum4232124.63
Variance30.1593048
MonotonicityNot monotonic
2021-11-29T11:21:14.598690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
291809
 
0.1%
281603
 
0.1%
301585
 
0.1%
321557
 
0.1%
311543
 
0.1%
261360
 
0.1%
271356
 
0.1%
331310
 
0.1%
341144
 
0.1%
29.11097
 
0.1%
Other values (715)123069
 
7.9%
(Missing)1414777
91.1%
ValueCountFrequency (%)
5.51
< 0.1%
71
< 0.1%
8.81
< 0.1%
9.11
< 0.1%
9.31
< 0.1%
ValueCountFrequency (%)
71.71
< 0.1%
70.21
< 0.1%
69.71
< 0.1%
66.41
< 0.1%
66.22
< 0.1%

Hgb
Real number (ℝ≥0)

MISSING

Distinct340
Distinct (%)0.3%
Missing1437619
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean10.43083279
Minimum2.2
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:14.701927image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile7.5
Q19.1
median10.3
Q311.7
95-th percentile13.9
Maximum32
Range29.8
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.968660811
Coefficient of variation (CV)0.1887347685
Kurtosis0.8853106454
Mean10.43083279
Median Absolute Deviation (MAD)1.3
Skewness0.4822289983
Sum1195279.56
Variance3.87562539
MonotonicityNot monotonic
2021-11-29T11:21:14.846757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102517
 
0.2%
10.12457
 
0.2%
10.32423
 
0.2%
10.22421
 
0.2%
9.92351
 
0.2%
9.72343
 
0.2%
10.52342
 
0.2%
9.82333
 
0.2%
9.42310
 
0.1%
10.72292
 
0.1%
Other values (330)90802
 
5.8%
(Missing)1437619
92.6%
ValueCountFrequency (%)
2.21
< 0.1%
2.31
< 0.1%
2.61
< 0.1%
2.81
< 0.1%
2.91
< 0.1%
ValueCountFrequency (%)
321
< 0.1%
301
< 0.1%
26.61
< 0.1%
251
< 0.1%
24.82
< 0.1%

PTT
Real number (ℝ≥0)

MISSING

Distinct1410
Distinct (%)3.1%
Missing1506511
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean41.23119346
Minimum12.5
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:14.948067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12.5
5-th percentile23.5
Q127.8
median32.4
Q342.8
95-th percentile91.9
Maximum250
Range237.5
Interquartile range (IQR)15

Descriptive statistics

Standard deviation26.21766885
Coefficient of variation (CV)0.6358697543
Kurtosis15.90945114
Mean41.23119346
Median Absolute Deviation (MAD)5.8
Skewness3.458283601
Sum1884224.31
Variance687.3661602
MonotonicityNot monotonic
2021-11-29T11:21:15.048447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150677
 
< 0.1%
27.7316
 
< 0.1%
28.1303
 
< 0.1%
29.8302
 
< 0.1%
28.5300
 
< 0.1%
28.6295
 
< 0.1%
28.8289
 
< 0.1%
27.9285
 
< 0.1%
28.7281
 
< 0.1%
29.2280
 
< 0.1%
Other values (1400)42371
 
2.7%
(Missing)1506511
97.1%
ValueCountFrequency (%)
12.51
 
< 0.1%
16.61
 
< 0.1%
16.91
 
< 0.1%
17.13
< 0.1%
17.21
 
< 0.1%
ValueCountFrequency (%)
25011
 
< 0.1%
249.915
 
< 0.1%
24981
< 0.1%
248.71
 
< 0.1%
2481
 
< 0.1%

WBC
Real number (ℝ≥0)

MISSING

Distinct891
Distinct (%)0.9%
Missing1452763
Missing (%)93.6%
Infinite0
Infinite (%)0.0%
Mean11.44640502
Minimum0.1
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:15.150513image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4.5
Q17.6
median10.3
Q313.8
95-th percentile21.3
Maximum440
Range439.9
Interquartile range (IQR)6.2

Descriptive statistics

Standard deviation7.731012549
Coefficient of variation (CV)0.6754096623
Kurtosis534.3912242
Mean11.44640502
Median Absolute Deviation (MAD)3
Skewness14.93209545
Sum1138310.64
Variance59.76855503
MonotonicityNot monotonic
2021-11-29T11:21:15.245200image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.61001
 
0.1%
8.8995
 
0.1%
10988
 
0.1%
9.4980
 
0.1%
9.8969
 
0.1%
9969
 
0.1%
9.2968
 
0.1%
10.2941
 
0.1%
8939
 
0.1%
8.2933
 
0.1%
Other values (881)89764
 
5.8%
(Missing)1452763
93.6%
ValueCountFrequency (%)
0.161
< 0.1%
0.236
< 0.1%
0.325
< 0.1%
0.426
< 0.1%
0.520
 
< 0.1%
ValueCountFrequency (%)
4401
< 0.1%
422.91
< 0.1%
3871
< 0.1%
375.41
< 0.1%
3421
< 0.1%

Fibrinogen
Real number (ℝ≥0)

MISSING

Distinct823
Distinct (%)8.0%
Missing1541968
Missing (%)99.3%
Infinite0
Infinite (%)0.0%
Mean287.3857059
Minimum34
Maximum1760
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:15.343556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile112
Q1184
median250
Q3349
95-th percentile600.95
Maximum1760
Range1726
Interquartile range (IQR)165

Descriptive statistics

Standard deviation153.0029077
Coefficient of variation (CV)0.5323956778
Kurtosis4.044636556
Mean287.3857059
Median Absolute Deviation (MAD)77
Skewness1.605546023
Sum2943404.4
Variance23409.88976
MonotonicityNot monotonic
2021-11-29T11:21:15.443345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21769
 
< 0.1%
18058
 
< 0.1%
20256
 
< 0.1%
18555
 
< 0.1%
20054
 
< 0.1%
21954
 
< 0.1%
15152
 
< 0.1%
21451
 
< 0.1%
24850
 
< 0.1%
20849
 
< 0.1%
Other values (813)9694
 
0.6%
(Missing)1541968
99.3%
ValueCountFrequency (%)
341
 
< 0.1%
3517
< 0.1%
411
 
< 0.1%
423
 
< 0.1%
463
 
< 0.1%
ValueCountFrequency (%)
17601
< 0.1%
13831
< 0.1%
12462
< 0.1%
11791
< 0.1%
11611
< 0.1%

Platelets
Real number (ℝ≥0)

MISSING

Distinct989
Distinct (%)1.1%
Missing1460001
Missing (%)94.1%
Infinite0
Infinite (%)0.0%
Mean196.0139108
Minimum1
Maximum2322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:15.547157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile65
Q1126
median181
Q3244
95-th percentile378
Maximum2322
Range2321
Interquartile range (IQR)118

Descriptive statistics

Standard deviation103.6353657
Coefficient of variation (CV)0.5287143412
Kurtosis9.805232362
Mean196.0139108
Median Absolute Deviation (MAD)58
Skewness1.840183453
Sum18074246.7
Variance10740.28903
MonotonicityNot monotonic
2021-11-29T11:21:15.647311image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167492
 
< 0.1%
162464
 
< 0.1%
158459
 
< 0.1%
175458
 
< 0.1%
166456
 
< 0.1%
187455
 
< 0.1%
159454
 
< 0.1%
149453
 
< 0.1%
186452
 
< 0.1%
152451
 
< 0.1%
Other values (979)87615
 
5.6%
(Missing)1460001
94.1%
ValueCountFrequency (%)
11
 
< 0.1%
25
< 0.1%
34
 
< 0.1%
47
< 0.1%
512
< 0.1%
ValueCountFrequency (%)
23221
< 0.1%
17831
< 0.1%
16671
< 0.1%
15921
< 0.1%
14211
< 0.1%

Age
Real number (ℝ≥0)

Distinct5987
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.00946888
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:15.751386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30.4
Q151.68
median64
Q374
95-th percentile85
Maximum100
Range86
Interquartile range (IQR)22.32

Descriptive statistics

Standard deviation16.38621789
Coefficient of variation (CV)0.2642534791
Kurtosis-0.1908454354
Mean62.00946888
Median Absolute Deviation (MAD)11
Skewness-0.4562524429
Sum96251717.69
Variance268.5081366
MonotonicityNot monotonic
2021-11-29T11:21:15.851403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6722188
 
1.4%
6821752
 
1.4%
6520587
 
1.3%
7120543
 
1.3%
6620029
 
1.3%
6119042
 
1.2%
6918954
 
1.2%
6218902
 
1.2%
7318795
 
1.2%
7018248
 
1.2%
Other values (5977)1353170
87.2%
ValueCountFrequency (%)
1437
 
< 0.1%
1577
 
< 0.1%
16210
 
< 0.1%
17425
 
< 0.1%
181260
0.1%
ValueCountFrequency (%)
10014978
1.0%
894595
 
0.3%
88.9940
 
< 0.1%
88.9849
 
< 0.1%
88.97144
 
< 0.1%

Gender
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5592690422
Minimum0
Maximum1
Zeros684107
Zeros (%)44.1%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:15.985775image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4964749132
Coefficient of variation (CV)0.8877210711
Kurtosis-1.942996275
Mean0.5592690422
Median Absolute Deviation (MAD)0
Skewness-0.2387597721
Sum868103
Variance0.2464873394
MonotonicityNot monotonic
2021-11-29T11:21:16.049785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1868103
55.9%
0684107
44.1%
ValueCountFrequency (%)
0684107
44.1%
1868103
55.9%
ValueCountFrequency (%)
1868103
55.9%
0684107
44.1%

Unit1
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing611960
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean0.4965711247
Minimum0
Maximum1
Zeros473349
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:16.115440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999885086
Coefficient of variation (CV)1.006881962
Kurtosis-1.999816129
Mean0.4965711247
Median Absolute Deviation (MAD)0
Skewness0.0137158456
Sum466901
Variance0.2499885087
MonotonicityNot monotonic
2021-11-29T11:21:16.179666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0473349
30.5%
1466901
30.1%
(Missing)611960
39.4%
ValueCountFrequency (%)
0473349
30.5%
1466901
30.1%
ValueCountFrequency (%)
1466901
30.1%
0473349
30.5%

Unit2
Real number (ℝ≥0)

MISSING
ZEROS

Distinct2
Distinct (%)< 0.1%
Missing611960
Missing (%)39.4%
Infinite0
Infinite (%)0.0%
Mean0.5034288753
Minimum0
Maximum1
Zeros466901
Zeros (%)30.1%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:16.246158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4999885086
Coefficient of variation (CV)0.9931661315
Kurtosis-1.999816129
Mean0.5034288753
Median Absolute Deviation (MAD)0
Skewness-0.0137158456
Sum473349
Variance0.2499885087
MonotonicityNot monotonic
2021-11-29T11:21:16.310251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1473349
30.5%
0466901
30.1%
(Missing)611960
39.4%
ValueCountFrequency (%)
0466901
30.1%
1473349
30.5%
ValueCountFrequency (%)
1473349
30.5%
0466901
30.1%

HospAdmTime
Real number (ℝ)

ZEROS

Distinct12156
Distinct (%)0.8%
Missing8
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-56.12512177
Minimum-5366.86
Maximum23.99
Zeros56050
Zeros (%)3.6%
Negative1487639
Negative (%)95.8%
Memory size11.8 MiB
2021-11-29T11:21:16.392735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-5366.86
5-th percentile-262.62
Q1-47.05
median-6.03
Q3-0.04
95-th percentile-0.01
Maximum23.99
Range5390.85
Interquartile range (IQR)47.01

Descriptive statistics

Standard deviation162.2569069
Coefficient of variation (CV)-2.890985388
Kurtosis277.7614091
Mean-56.12512177
Median Absolute Deviation (MAD)6.01
Skewness-12.26619376
Sum-87117526.26
Variance26327.30384
MonotonicityNot monotonic
2021-11-29T11:21:16.497654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02161179
 
10.4%
-0.0399326
 
6.4%
056050
 
3.6%
-0.0152590
 
3.4%
-0.0432303
 
2.1%
-0.0517701
 
1.1%
-0.0610656
 
0.7%
-0.077101
 
0.5%
-0.094524
 
0.3%
-0.084433
 
0.3%
Other values (12146)1106339
71.3%
ValueCountFrequency (%)
-5366.86260
< 0.1%
-3710.6656
 
< 0.1%
-3397.6436
 
< 0.1%
-3342.3441
 
< 0.1%
-3322.943
 
< 0.1%
ValueCountFrequency (%)
23.9950
< 0.1%
22.0428
< 0.1%
20.0430
< 0.1%
17.3445
< 0.1%
16.0217
 
< 0.1%

ICULOS
Real number (ℝ≥0)

Distinct336
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.9949923
Minimum1
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:16.600508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q334
95-th percentile63
Maximum336
Range335
Interquartile range (IQR)23

Descriptive statistics

Standard deviation29.00541912
Coefficient of variation (CV)1.074474065
Kurtosis24.63985555
Mean26.9949923
Median Absolute Deviation (MAD)12
Skewness4.109158461
Sum41901897
Variance841.3143385
MonotonicityNot monotonic
2021-11-29T11:21:16.698469image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
840150
 
2.6%
740027
 
2.6%
939936
 
2.6%
639794
 
2.6%
1039762
 
2.6%
1139579
 
2.5%
1239386
 
2.5%
539371
 
2.5%
1339144
 
2.5%
1438840
 
2.5%
Other values (326)1156221
74.5%
ValueCountFrequency (%)
131543
2.0%
235672
2.3%
337569
2.4%
438718
2.5%
539371
2.5%
ValueCountFrequency (%)
33616
< 0.1%
33517
< 0.1%
33418
< 0.1%
33318
< 0.1%
33218
< 0.1%

SepsisLabel
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01798467991
Minimum0
Maximum1
Zeros1524294
Zeros (%)98.2%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:16.784852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1328956078
Coefficient of variation (CV)7.389378543
Kurtosis50.62136105
Mean0.01798467991
Median Absolute Deviation (MAD)0
Skewness7.254053751
Sum27916
Variance0.01766124257
MonotonicityNot monotonic
2021-11-29T11:21:16.853443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01524294
98.2%
127916
 
1.8%
ValueCountFrequency (%)
01524294
98.2%
127916
 
1.8%
ValueCountFrequency (%)
127916
 
1.8%
01524294
98.2%

Sepsis
Real number (ℝ≥0)

ZEROS

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1110738882
Minimum0
Maximum1
Zeros1379800
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:16.923134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3142237152
Coefficient of variation (CV)2.828961156
Kurtosis4.127986121
Mean0.1110738882
Median Absolute Deviation (MAD)0
Skewness2.475475874
Sum172410
Variance0.09873654317
MonotonicityNot monotonic
2021-11-29T11:21:17.037103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
01379800
88.9%
1172410
 
11.1%
ValueCountFrequency (%)
01379800
88.9%
1172410
 
11.1%
ValueCountFrequency (%)
1172410
 
11.1%
01379800
88.9%

Hours
Real number (ℝ≥0)

Distinct273
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.98548908
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.8 MiB
2021-11-29T11:21:17.123988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile19
Q136
median44
Q353
95-th percentile135
Maximum336
Range328
Interquartile range (IQR)17

Descriptive statistics

Standard deviation42.74614718
Coefficient of variation (CV)0.8222707517
Kurtosis16.99368713
Mean51.98548908
Median Absolute Deviation (MAD)8
Skewness3.834924761
Sum80692396
Variance1827.233099
MonotonicityNot monotonic
2021-11-29T11:21:17.225204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3953118
 
3.4%
4152111
 
3.4%
4352030
 
3.4%
4051400
 
3.3%
4450292
 
3.2%
3850274
 
3.2%
4250106
 
3.2%
3649104
 
3.2%
4649036
 
3.2%
4549005
 
3.2%
Other values (263)1045734
67.4%
ValueCountFrequency (%)
82624
0.2%
92124
0.1%
102210
0.1%
112574
0.2%
123420
0.2%
ValueCountFrequency (%)
3363360
0.2%
3351005
 
0.1%
334668
 
< 0.1%
333333
 
< 0.1%
330330
 
< 0.1%

Interactions

2021-11-29T11:20:51.273511image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:30.185833image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:31.001197image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:31.785895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:32.552411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:33.229848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:33.795508image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:34.567189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:35.305379image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:36.001757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:36.610095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:36.904205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.219411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.526061image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.869138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.191780image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.492424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.803352image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.105150image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.414681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.738090image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.048903image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.459599image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.755488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.078370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.429254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.736242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.089242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.418993image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.733804image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.021778image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.316611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.691978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.004394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.299576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.596308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.905158image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:45.419702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:46.204024image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:46.920821image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:47.507971image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:48.159564image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:48.981632image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:49.752841image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:50.516695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:51.530005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:30.481576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:31.260626image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:32.041985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:32.809528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:33.384785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:34.050726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:34.825178image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:35.526236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:36.257471image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:36.706051image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.009165image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.318823image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.640301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.976904image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.292554image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.596268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.898837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.211820image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.518622image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.841761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.149748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.561297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.851916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.201790image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.529383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.883754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.195362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.527430image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.829340image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.113788image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.471279image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.798608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.100123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.400926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.694634image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:45.052659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:45.683157image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:46.463013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:47.116173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:47.702596image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:48.462156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:49.238468image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:50.006534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:50.765625image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:51.783751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:30.737542image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:31.520884image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:32.299528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:33.066151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:33.537236image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:34.305767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:35.082296image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:35.745620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:36.508151image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:36.800905image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.112809image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.417403image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:37.752837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.083122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.392438image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.699528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:38.993228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.316454image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.621434image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:39.945000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.348756image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.662207image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:40.947125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.326363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.626682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:41.986272image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.300730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.636004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:42.923893image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.205260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.580716image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:43.904156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.194777image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.502651image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:44.792139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:45.155096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:45.944920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:46.720139image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:47.309768image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:47.895582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:48.720253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:49.496358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:50.259321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2021-11-29T11:20:51.016997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Missing values

2021-11-29T11:20:52.146380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2021-11-29T11:20:55.425827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-11-29T11:21:06.010972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-11-29T11:21:07.932159image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.